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The uplink performance of massive multiple-input-multiple-output (MIMO) systems where the base stations (BS) employ low-resolution analog-to-digital converters (ADCs) is analyzed. A high performance MMSE receiver that takes both additive…

Signal Processing · Electrical Eng. & Systems 2017-11-30 Chao Wei , Zaichen Zhang

We present a unified model for connected antenna arrays with a large number of tightly integrated (i.e., coupled) antennas in a compact space within the context of massive multiple-input multiple-output (MIMO) communication. We refer to…

Information Theory · Computer Science 2023-05-09 Mohamed Akrout , Volodymyr Shyianov , Faouzi Bellili , Amine Mezghani , Robert W. Heath

Extremely large-scale multiple-input multiple-output (XL-MIMO) communications correspond to systems whose antenna size is so large that conventional assumptions, such as uniform plane wave (UPW) impingement, are no longer valid. This paper…

Information Theory · Computer Science 2020-11-02 Haiquan Lu , Yong Zeng

In this article, we investigate channel estimation for wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) under hybrid architecture with lowprecision analog-to-digital converters (ADCs). To design channel…

Signal Processing · Electrical Eng. & Systems 2018-09-13 Yucheng Wang , Wei Xu , Hua Zhang , Xiaohu You

Cell-free massive MIMO systems consist of many distributed access points with simple components that jointly serve the users. In millimeter wave bands, only a limited set of predetermined beams can be supported. In a network that…

Information Theory · Computer Science 2021-07-05 Cenk M. Yetis , Emil Björnson , Pontus Giselsson

Massive multiuser (MU) multiple-input multiple-output (MIMO) will be a core technology in fifth-generation (5G) wireless systems as it offers significant improvements in spectral efficiency compared to existing multi-antenna technologies.…

Information Theory · Computer Science 2017-11-09 Oscar Castañeda , Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave (mmWave) systems, where the number of radio frequency (RF) chains is much less than the number of antennas equipped at each transceiver. The proposed…

Information Theory · Computer Science 2017-02-28 Lou Zhao , Derrick Wing Kwan Ng , Jinhong Yuan

To circumvent the high path loss of mmWave propagation and reduce the hardware cost of massive multiple-input multiple-output antenna systems, full-dimensional hybrid beamforming is critical in 5G and beyond wireless communications.…

Information Theory · Computer Science 2025-05-16 Teng Sun , Guangxu Zhu , Xiaofan Li , Jiancun Fan , Minghua Xia

Millimeter wave (mmWave) communications have been postulated as one of the most disruptive technologies for future 5G systems. Among mmWave bands the 60-GHz radio technology is specially suited for ultradense small cells and mobile data…

Networking and Internet Architecture · Computer Science 2016-05-19 Cristina Perfecto , Javier Del Ser , Muhammad Ikram Ashraf , Miren Nekane Bilbao , Mehdi Bennis

Massive multiple-input multiple-output (MIMO) systems have been drawing considerable interest due to the growing throughput demands on wireless networks. In the uplink, massive MIMO systems are commonly studied assuming that each base…

Information Theory · Computer Science 2018-11-28 Nir Shlezinger , Yonina C. Eldar

In this paper, we consider a multiuser massive single-input multiple-output (SIMO) enabled Industrial Internet of Things (IIoT) communication system. To reduce the latency and overhead caused by channel estimation, we assume that only the…

Information Theory · Computer Science 2019-03-06 Zheng Dong , He Chen , Jian-Kang Zhang , Branka Vucetic

Massive MIMO systems can greatly increase spectral and energy efficiency over traditional MIMO systems by exploiting large antenna arrays. However, increasing the number of antennas at the base station (BS) makes the uplink non-coherent…

Information Theory · Computer Science 2015-07-19 Haider Ali Jasim Alshamary , Md Fahim Anjum , Tareq Al-Naffouri , Alam Zaib , Weiyu Xu

This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where the base station is equipped with one-bit analog-to-digital converters (ADCs). By rewriting the…

Information Theory · Computer Science 2016-11-15 Yongzhi Li , Cheng Tao , Liu Liu , Gonzalo Seco-Granados , A. Lee Swindlehurst

Millimeter Wave (mmWave) massive Multiple Input Multiple Output (MIMO) systems realizing directive beamforming require reliable estimation of the wireless propagation channel. However, mmWave channels are characterized by high variability…

Information Theory · Computer Science 2019-06-07 Evangelos Vlachos , George C. Alexandropoulos , John Thompson

Dynamic subarray achieves a compromise between sum rate and hardware complexity for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems in which antenna elements are dynamically partitioned to radio frequency (RF)…

Signal Processing · Electrical Eng. & Systems 2019-06-19 Jing Jiang , Yue Yuan , Li Zhen

Power consumption is a key challenge in millimeter wave (mmWave) receiver front-ends, due to the need to support high dimensional antenna arrays at wide bandwidths. Recently, there has been considerable work in developing low-power…

In this paper, we analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multiple-output (MIMO) system. The multiple users are equipped with single antenna and the base station (BS) is…

Information Theory · Computer Science 2016-11-17 Ang Yang , Yindi Jing , Chengwen Xing , Zesong Fei , Jingming Kuang

This paper investigates the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers. We present a new analytic framework which unveils an interesting…

Information Theory · Computer Science 2009-03-05 Matthew R. McKay , Iain B. Collings , Antonia M. Tulino

M-MIMO is one of the crucial technologies for increasing spectral and energy efficiency of wireless networks. Most of the current works assume that M-MIMO arrays are equipped with a linear front end. However, ongoing efforts to make…

Machine Learning · Computer Science 2026-04-20 Marcin Hoffmann , Paweł Kryszkiewicz

Massive multi-user (MU) multiple-input multiple-output (MIMO) systems are one possible key technology for next generation wireless communication systems. Claims have been made that massive MU-MIMO will increase both the radiated energy…